Survey of attitudes toward statistics: Factor structure and factorial invariance for women and men

White undergraduate students enrolled in introductory statistics courses completed the Survey of Attitudes Toward Statistics (SATS). Student responses were analyzed using confirmatory factor analysis to determine the validity of several alternative models of the structure of attitudes toward statistics. A four‐factor structure composed of Affect, Cognitive Competence, Value, and Difficulty provided the best model fit. Responses of women and men to the SATS were then examined to explore scale invariance across gender. Invariance tests of factor structure, factor‐variable correlations, factor correlations, and variable uniquenesses showed that the four‐factor model fit well for both female and male responses. Only two significant differences in model fit were found: the Value variance was greater for women and the correlation between Affect and Value was greater for men. Generally, the study provided evidence for the appropriateness of a four‐factor structure of the SATS.     

Opening windows on teaching and learning: transformative and emancipatory learning precipitated by experimenting with visual documentation of student learning

Emancipatory learning can occur through critical reflection grounded in theory. This study describes an action research project in which the author engaged in retrospective structured analysis of an incident involving visual documentation of student learning. It was experienced by a struggling novice teacher educator, who at the time of the incident had neither the theoretical nor structured framework from which to process the experience. Using the transformation theory of adult learning as the basis from which to create a reflection model, the action research examined assumptions about filters and meaning schemes through which insights emerged about a changed paradigm, with implications for other teacher educators about reflective practice.     

The heart of educational data infrastructures = Conscious humanity and scientific responsibility,not infinite data and limitless experimentation

Education and education research are experiencing increased digitization and datafication, partly thanks to the rise in popularity of massively open online courses (MOOCs). The infrastructures that collect, store and analyse the resulting big data have received critical scrutiny from sociological, epistemological, ethical and analytical perspectives. These critiques tend to highlight concerns and/or warnings about the lack of the infrastructures' and builders' understanding of various nontechnical aspects of big data research (eg seeing data as neutral rather than as products of social processes). These critiques have primarily come from outside of the builder community, rendering the conversation largely one-sided and devoid of the voices of the builders themselves. The purpose of this paper is to re-balance the conversation by reporting the results of interviews with 11 data infrastructure builders in higher education institutions. The interviews reveal that builders engage deeply with the issues the critiques outline, not only thinking about them, but also developing practices to address them. The paper focuses the findings on three themes: designing a productive science, navigating ubiquitous ethics and achieving real human impact. Researchers, policymakers and infrastructure builders can use these accounts to better understand the building process and experience.     

Appraising research on personalized learning: Definitions,theoretical alignment,advancements, and future directions

Abstract

This article introduces a special issue comprising research on efforts to personalize learning in different academic subjects. We first consider the emergence of personalized learning (PL) and the myriad of definitions that describe its essential features. Thereafter, we introduce the articles in the special issue by examining their alignment to extant theories of learning, the instructional design features that personalize the learning experience based on a learner characteristic, and the relationships between PL design and outcomes achieved in an educational context. Based on observations of contemporary PL research, we identify key issues to be addressed by the field and recommendations for future researchers to undertake to advance a PL theory. Chief among issues with PL are the role of technology, the agency of the learner, and the absence of a consistent theoretical grounding to motivate PL design choices. Future directions that would advance PL include the adoption of a theory of change in PL design, a design-based research approach to refine PL initiatives, more intensive and iterative research in authentic classroom contexts, and a greater focus on student input into and ownership of the PL experience.     

Integration of Study Abroad with Social Media Technologies and Decision‐Making Applications

This article describes the design and delivery of a program, “Global Business in a Digital World.” The program integrates the use of social media technologies and business applications in a series of courses that include short‐term study abroad components that focus on emerging markets. The objectives are to: (1) provide additional options for study abroad; (2) broaden the scope of the international business program to include more emphasis on emerging markets; (3) provide integration across business and liberal arts; and (4) integrate social media technologies into the study abroad experience. To achieve these objectives, students study business in the host country, interact with local company executives, and experiment with social media and related technologies. A conceptual framework describes the course structure and its relationship with the four categories of social media classified as 4Cs: Communication, Connection, Cooperation, and Collaboration ( Cook, 2008 ; Enterprise 2.0. Burlington, VT: Gower Publishing Limited). Conclusions reveal improved student learning outcomes after exposure to the study abroad, but also suggest the study abroad experience requires specific skill development. A research framework gives direction for future work.     

Should I Stay or Go?: Student Identity Gaps,Feelings, and Intent to Leave

This study examined gaps between students’ personal, enacted, relational, and communal identities. The particular interest was students’ intentions to leave the university as a function of their identity gaps, self-esteem, communication satisfaction, motivation, and general affect. Participants (N = 209 undergraduate students) completed self-report measures while reflecting on their communication with others at the university (e.g., faculty, staff, and peers). Results of path analysis models indicated that personal-communal identity gaps are predictive of students’ communication satisfaction, motivation, general affect, and their intentions to leave the university. This predictive ability is enhanced by the presence of personal-relational gaps.     

Developmentally Appropriate Technology Use and Early Childhood Teacher Education

Early childhood teacher education methods classes often emphasize the application of developmentally appropriate practices (DAP). In today's digital age, it is important for teacher educators and their students to think about how to extend DAP to technology use. In this article, two contrasting classroom scenarios are provided to illustrate developmentally appropriate technology use (DATU), a new educational term coined by the authors. Briefly, DATU is defined as use that both respects the unique challenges presented by children's levels of development and capitalizes on children's natural desire to actively, collaboratively construct knowledge and solve problems. A five-element framework for guiding teachers toward DATU is explained.     

Political instability, pro-business market reforms and their impacts on national systems of innovation

We investigate the impacts of political instability and pro-business market reforms on national systems of innovation (NSI) across a range of developing and developed countries. Evidence suggests that national systems of innovation are most likely to flourish in developed, politically stable countries and less likely to prosper in historically unstable countries. While research has shown that pro-business market reforms can be a valuable policy instrument to boost economic development in less developed countries, the extent to which these reforms affect a country's innovativeness has been neglected in the literature. In particular, the degree to which pro-business market reforms may compensate for political instability when it comes to fostering national systems of innovation remains under-researched. Our findings support established arguments concerning the strong influence of political instability on inputs to national innovation systems. We find, however, mixed effects for pro-business market reforms. While results indicate a negative direct influence on NSI, they consistently show a strong moderating effect that counterbalances the negative impact of political instability, especially in those developing country environments where science and technology are lagging. These results provide important implications for policymakers as well as for our understanding of emerging and transition economies and national technological capability.